Real-time environment aware web service selection and evaluation

Currently, the quality of service (QoS) of web services can not to be guaranteed, because the cloud environment lacks the ability to be real-time aware of their load capacity changes. For non-trusted and trusted web service providers may make the different service description of the meta-service, where exists deceit. As consumers may simultaneously invoke the same high quality service and thus it is very likely to occur that the users´ access exceeds the load capacity of service. In this paper, we propose a service selection and evaluation method based on real-time environmental-aware. The service dispatch center proposed in this paper aims to select meta-service clusters by way of bidding and tendering to guarantee the QoS of the selected service. Meanwhile, the QoS aware module of each meta-service will make real-time perception of QoS to ensure web service with high real-time and high reliability. Furthermore, a QoS prediction algorithm is proposed to evaluate the promised reputation of the service providers. Extensive simulation results show that the method can achieve evaluation and forecast of QoS efficiently and provide an optimal web service for users.